hdbscan: add support to other types of input integers

Both attributes like min_samples and min_cluster_size can be defined
using other types of integer like Numpy's int16, int32 and int64. This
should be also supported by HDBSCAN. This commit only extendes the check
to other types of integers.

Signed-off-by: Julio Faracco <[email protected]>

Author: jcfaracco

hdbscan/hdbscan_.py

@@ -674,7 +674,8 @@ def hdbscan(
     if min_samples is None:
         min_samples = min_cluster_size
 
-    if type(min_samples) is not int or type(min_cluster_size) is not int:
+    if not np.issubdtype(type(min_samples), np.integer) or \
+       not np.issubdtype(type(min_cluster_size), np.integer):
         raise ValueError("Min samples and min cluster size must be integers!")
 
     if min_samples <= 0 or min_cluster_size <= 0:
@@ -685,7 +686,7 @@ def hdbscan(
     if min_cluster_size == 1:
         raise ValueError("Min cluster size must be greater than one")
 
-    if type(cluster_selection_epsilon) is int:
+    if np.issubdtype(type(cluster_selection_epsilon), np.integer):
         cluster_selection_epsilon = float(cluster_selection_epsilon)
 
     if type(cluster_selection_epsilon) is not float or cluster_selection_epsilon < 0.0: